Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

When it comes to deciding how significant a statistic is, Université de Montréal education professor Sébastien Béland is ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Erian, Allianz Chief Economic Advisor, warned that the labor market poses the biggest risk to the U.S. economy, despite sticky inflation. The current “low hiring and low firing” environment appears ...

Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...

Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.